Allianz Financial Services (AFS) is a banking group offering end-to-end banking and financial solutions in South East Asia through its consumer banking, business banking, Islamic banking, investment finance and stock broking businesses as well as unit trust and asset administration, having served the financial community over the past five decades. AFS launched EMR cluster to support their big data analytics requirements.
AFS has a large team of Hadoop developers who work on both Hive and Pig applications.
AFS understands that the performance of MapReduce is not competent based on the SLA's and is looking for an alternative framework instead of MapReduce which runs by creating complex directed acyclic graph (DAG) of tasks for processing data Which EMR Hadoop ecosystem fulfills the requirements? select 1 option.
Click on the arrows to vote for the correct answer
A. B. C. D.Answer : D.
Option A is incorrect - Hue (Hadoop User Experience) is an open-source, web-based, graphical user interface for use with Amazon EMR and Apache Hadoop.
Hue groups together several different Hadoop ecosystem projects into a configurable interface.
Amazon EMR has also added customizations specific to Hue in Amazon EMR.
Hue acts as a front-end for applications that run on your cluster, allowing you to interact with applications using an interface that may be more familiar or user-friendly.
The applications in Hue, such as the Hive and Pig editors, replace the need to log in to the cluster to run scripts interactively using each application's respective shell.
https://docs.aws.amazon.com/emr/latest/ReleaseGuide/emr-hue.htmlOption B is incorrect - Apache Flink is a streaming dataflow engine that you can use to run real-time stream processing on high-throughput data sources.
Flink supports event time semantics for out-of-order events, exactly-once semantics, backpressure control, and APIs optimized for writing both streaming and batch applications.
https://docs.aws.amazon.com/emr/latest/ReleaseGuide/emr-flink.htmlOption C is incorrect -Apache Phoenix is used for OLTP and operational analytics, allowing you to use standard SQL queries and JDBC APIs to work with an Apache HBase backing store.
https://docs.aws.amazon.com/emr/latest/ReleaseGuide/emr-phoenix.htmlOption D is correct - Apache Tez is a framework for creating a complex directed acyclic graph (DAG) of tasks for processing data.
In some cases, it is used as an alternative to Hadoop MapReduce.
https://docs.aws.amazon.com/emr/latest/ReleaseGuide/emr-tez.htmlThe requirement of Allianz Financial Services (AFS) is to find an alternative to MapReduce that can create a complex directed acyclic graph (DAG) of tasks for processing data in their EMR cluster. This suggests that AFS is looking for a more efficient and flexible framework that can improve the performance of their big data analytics applications.
Out of the given options, Apache Tez is the Hadoop ecosystem that fulfills the requirements of AFS. Apache Tez is a data processing framework that was designed to improve the performance of Hadoop-based applications by providing a flexible DAG-based programming model. It is built on top of YARN and provides a more efficient way of executing Hadoop jobs than MapReduce. Tez is used to build data processing applications like Hive and Pig, which are commonly used in big data analytics.
Apache Tez provides a DAG-based data processing model, which allows for better performance and more flexibility than MapReduce. It processes data in parallel across multiple nodes and provides a faster data processing experience. Apache Tez also provides a more efficient data serialization format, which helps reduce the overhead associated with MapReduce. It is also known for its efficient memory management and garbage collection techniques, which are designed to optimize performance.
Apache Flink is another Hadoop ecosystem that provides a DAG-based programming model for processing large amounts of data in real-time. However, Flink is designed for stream processing and is more suitable for real-time analytics applications. Apache Hue is a web-based Hadoop user interface that provides a graphical interface for managing and submitting Hadoop jobs. Apache Phoenix is a SQL query engine for Hadoop that provides an efficient way to query large datasets stored in HBase.
In summary, Apache Tez is the best option among the given choices for AFS to meet their requirement for an alternative to MapReduce that can create a complex DAG-based programming model for processing large amounts of data efficiently.